International Business Machines Corporation

Tova Roth

Douglas Neil Kimelman

Mark N Wegman

Vadakkedathu Thomas Rajan

Daniel Christopher Berg

Tamar Eilam

Vugranam Chakravarthy Sreedhar

Michael H Kalantar

Harm Sluiman

William Carlisle Arnold

Alexander V Konstantinou

Edward Charles Snible

Paul Turquand Keyser

Eric Marshall Nelson

Bard Bloom

Ian D Simmonds

Karin Hogstedt

Florian Pinel

Steven R Abrams

John M Vlissides

Steven Tang

Dinakaran B Joseph

Matt Richard Hogstrom

Nirmit V Desai

Gili Mendel

Bryan Savoye Rosenburg

Jose I Ortiz

Ruth Edith Willenborg

Asaf Adi

Alexander Kofman

James H Summers

Murray J Beaton

Wendy D Neuberger

Michael Hadley Skelton

Dinesh C Verma

Jenny S Li

John Raithel Hind

Douglas Morgan Freimuth

Seraphin Bernard Calo

Brad Byer Topol

Nancy Anne Greco

Bala Rajaraman

Clay Edwin Williams

Harold Leon Ossher

Jae-Wook Ahn

Luis Angel Bathen

Matthew N Kaplan

Steven A Waite

Wei-Han Lee

Gwilym Benjamin Lee Newton

Vincent Joseph Kruskal

Dhiraj Joshi

Sujoy Kumar Roy Chowdhury

Aakash Praliya

Prakriti Pritmani

Raghu Ramaswamy

Roger Hollander

Anshu Kak

Ajjay Ratnakar

Vadekkadathu T Rajan

Steve Abrams

Satish Rajani

Shiva G

Steven Shu Hsiang Tang

Kay Murphy

Shilpa Shenai

John Matthew Vissides

Arun Yashwant Ingale

Methods and systems for emulating an application include generating a log template to match one or more patterns in a set of application logs collected from an original application. Semantic state representations are learned for the original application from the log template. A classifier is trained to predict a next action template based on a sequence of prior action templates. A regressor is trained to generate a parameter value for a template based on a sequence of prior action templates and a particular semantic state of the original application.

Machine learning to emulate software applications

Dynamically adjusting, using artificial intelligence (AI), sensors and models of an autonomous roaming robotic device, which includes receiving data regarding an asset at a computer of a roaming robotic device from sensors on the robotic device. The robotic device identifies an asset at a location using the sensors, and the robotic device has instructions, received from a control system, to inspect the location or items at the location. The data is analyzed using the computer of the robotic device, and the analysis includes using historical data for the asset. An AI model is loaded using the computer of the robotic device, based on the identification of the asset. A sensor is selected using the computer of the robotic device, for conducting an inspection of the asset based on the analysis of the data and the AI model.

Dynamic use of artificial intelligence (AI) models on an autonomous AI enabled robotic device

Embodiments of the present invention disclose a method, a computer program product, and a computer system predicting parking availability. A computer identifies parking spaces and groups the parking spacing into parking locations. In addition, the computer distinguishes private parking spaces from public parking spaces, and trains a crowd forecast model for each of the parking locations. The computer further receives a destination and preferences, from which the computer creates a geofence based on the destination and preferences. The computer then predicts parking availability based on the crowd forecast models and refines the crowd forecast model.

Parking availability predictor

Embodiments of the present invention disclose a method, a computer program product, and a computer system for predicting a crowdedness of a location. In the example embodiment, a computer receives a location and defines a geofence around the location. In addition, the computer collects current feature data of users within the geofence and predicts a crowdedness of the location based on inputting the current feature data into a model.

Predicting the crowdedness of a location

A method and system are disclosed for manipulating a model, where that model represents some or all of a design. The design includes a multitude of design elements, the model includes a multitude of model elements, and each of the design elements is represented by a single model element. The method comprises the steps of generating a suite of documents from the model, each of the documents describing a view of the model; and displaying the documents to a user as a series of forms. The user provides information to the forms to change the documents, and changes to the documents result in both changes to the model and consistent changes across the suite of documents. In the preferred embodiment, the model identifies specific relationships between the elements of the model, and each of the model elements has defined properties.

Manipulating design models by editing generated reports

A composable software bundle is created by retrieving a semantic representation of a set of software modules. A functional representation of a set of operations is retrieved. Each operation in the set of operations is to be performed on the set of software modules during at least one virtual image life-cycle phase in a set of virtual image life-cycle phases. A set of artifacts including a set of executable instructions associated with the set of operations is identified. The semantic representation, the functional representation, and the set of artifacts, are stored in a composable software bundle.

Semantically rich composable software image bundles

A virtual image is created by receiving a selection of at least one composable software bundle. The at least one composable software bundle includes a first set of metadata and a first set of artifacts comprising a first set of executable instructions associated with a first set of operations. A virtual image asset is selected and received. The virtual image asset includes one or more virtual image disks, a second set of metadata, and a second set of artifacts including a second set of executable instructions associated with a second set of operations. A new virtual image asset is created based on the at least one composable software bundle and the virtual image asset. The new virtual image asset includes a third set of metadata that is based on the first set of metadata and the second set of metadata.

Designing and building virtual images using semantically rich composable software image bundles

Lifecycles of virtual image assets are managed as follows. A set of assets including a set virtual image assets and a set of software bundle assets are analyzed. At least a portion of relationship data between one or more of the virtual image assets and one or more of the software bundle assets is determined. The at least a portion of relationship data is stored in a memory. At least one of one or more virtual image assets and one or more software bundle assets are determined to be associated with a set of changes. At least one virtual image asset that is related to the one or more virtual image assets and/or one or more software bundle assets associated with the set of changes is identified. The at least one virtual image asset that has been identified is updated based on the set of changes.

System for managing lifecycles for virtual image assets

Method for managing lifecycles for virtual image assets

A method and system are disclosed for creating a hyperlink together with an associated semantic link between a source entity, and a target entity. The source entity includes descriptive text. The system includes means for selecting text within the source entity, and means for selecting the target entity. Also, means are provided for selecting a type of semantic link, and means are provided for creating a hyperlink between said selected text and said target entity. The system further includes means for creating a semantic link of said type between said source entity and said target entity, including means for including in the hyperlink a reference to said semantic link. In the preferred embodiment of the invention, the means for selecting the type of semantic link includes means for prompting a user to select from among a plurality of candidate types of semantic links.

Method and system for creating semantic relationships using hyperlinks

A method for minimizing total cost of interaction among components of a computer program, each of the components being characterized by at least one implementation property includes steps of: a) carrying out at least a partial run of the program; b) monitoring the at least partial run of the program to measure an amount of interaction between each pair of components; c) determining a cost of interaction between each pair of interacting components; d) determining a choice of implementation properties which minimizes total cost of the at least partial run; and e) assigning that choice of implementation properties to the components for a subsequent at least partial run of the program.

Minimizing interaction costs among components of computer programs

A method (and system) for generating a structured representation from an unstructured description includes receiving, by a computer, an unstructured description, and generating, by the computer, a structured representation based upon the unstructured description.

System and method for guided and assisted structuring of unstructured information

A method is provided for characterizing objects generated during an initial run of a program, each object being characterized by a number of alternative properties which can be chosen. The method includes steps of instrumenting an initial run of program to determine characterization information about each of objects, then determining a desirable property for each object, then determining a correlation between the desirable property and the characterization information for each of the objects. This correlation is then used to select a property for an object that is subsequently created during a run of the program based only upon characterization information about the subsequently created object.

Computer system program and method to characterize each of a plurality of objects used at runtime to determine a lowest cost property among a plurality of potential alternative properties for each of said objects minimizing total cost of interaction among components during program execution

Growing community of inventors

Woodmere, NY, United States of America

Tova Roth